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Trade Classes in Python - CTade, CSymbol, CPositionInfo, etc. MetaTrader 5
MetaTrader 5 Python 中类似于 MQL5 的 Python 交易类
文章
Implementing Practical Modules from Other Languages in MQL5 (Part 01): Building the SQLite3 Library, Inspired by Python MetaTrader 5
The sqlite3 module in Python offers a straightforward approach for working with SQLite databases, it is fast and convenient. In this article, we are going to build a similar module on top of built-in MQL5 functions for working with databases to make it easier to work with SQLite3 databases in MQL5
Data Science and ML (Part 45): Forex Time series forecasting using PROPHET by Facebook Model MetaTrader 5
The Prophet model, developed by Facebook, is a robust time series forecasting tool designed to capture trends, seasonality, and holiday effects with minimal manual tuning. It has been widely adopted for demand forecasting and business planning. In this article, we explore the effectiveness of
Sending Messages from MQL5 to Discord, Creating a Discord-MetaTrader 5 Bot MetaTrader 5
Similar to Telegram, Discord is capable of receiving information and messages in JSON format using it's communication API's, In this article, we are going to explore how you can use discord API's to send trading signals and updates from MetaTrader 5 to your Discord trading community
Data Science and ML (Part 44): Forex OHLC Time series Forecasting using Vector Autoregression (VAR) MetaTrader 5
Explore how Vector Autoregression (VAR) models can forecast Forex OHLC (Open, High, Low, and Close) time series data. This article covers VAR implementation, model training, and real-time forecasting in MetaTrader 5, helping traders analyze interdependent currency movements and improve their trading
Data Science and ML (Part 43): Hidden Patterns Detection in Indicators Data Using Latent Gaussian Mixture Models (LGMM) MetaTrader 5
Have you ever looked at the chart and felt that strange sensation… that there’s a pattern hidden just beneath the surface? A secret code that might reveal where prices are headed if only you could crack it? Meet LGMM, the Market’s Hidden Pattern Detector. A machine learning model that helps identify
Data Science and ML (Part 42): Forex Time series Forecasting using ARIMA in Python, Everything you need to Know MetaTrader 5
ARIMA, short for Auto Regressive Integrated Moving Average, is a powerful traditional time series forecasting model. With the ability to detect spikes and fluctuations in a time series data, this model can make accurate predictions on the next values. In this article, we are going to understand what
Building MQL5-Like Trade Classes in Python for MetaTrader 5 MetaTrader 5
MetaTrader 5 python package provides an easy way to build trading applications for the MetaTrader 5 platform in the Python language, while being a powerful and useful tool, this module isn't as easy as MQL5 programming language when it comes to making an algorithmic trading solution. In this
Data Science and ML (Part 41): Forex and Stock Markets Pattern Detection using YOLOv8 MetaTrader 5
Detecting patterns in financial markets is challenging because it involves seeing what's on the chart, something that's difficult to undertake in MQL5 due to image limitations. In this article, we are going to discuss a decent model made in Python that helps us detect patterns present on the chart
Data Science and ML (Part 40): Using Fibonacci Retracements in Machine Learning data MetaTrader 5
Fibonacci retracements are a popular tool in technical analysis, helping traders identify potential reversal zones. In this article, we’ll explore how these retracement levels can be transformed into target variables for machine learning models to help them understand the market better using this
Data Science and ML (Part 39): News + Artificial Intelligence, Would You Bet on it? MetaTrader 5
News drives the financial markets, especially major releases like Non-Farm Payrolls (NFPs). We've all witnessed how a single headline can trigger sharp price movements. In this article, we dive into the powerful intersection of news data and Artificial Intelligence